Demo Data from VLDB 2026 / reviewers in the wild / expert
Joel Hindorff
dblp:75/633
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Computational photography and imaging · 77% Rendering · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational photography and imaging › physics-based vision › light transport analysis
environment matting |
0.0 | 1 | 2000 | Environment matting extensions: towards higher accuracy and real-time capture · SIGGRAPH 2000 |
Rendering
light transport |
0.0 | 1 | 2000 | Environment matting extensions: towards higher accuracy and real-time capture · SIGGRAPH 2000 |
Methods — techniques the papers use, named apart from their topics
structured light · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Environment matting extensions: towards higher accuracy and real-time captureabstractEnvironment matting is a generalization of traditional bluescreen matting. By photographing an object in front of a sequence of structured light backdrops, a set of approximate light-transport paths through the object can be computed. The original environment matting research chose a middle ground—using a moderate number of photographs to produce results that were reasonably accurate for many objects. In this work, we extend the technique in two opposite directions: recovering a more accurate model at the expense of using additional structured light backdrops, and obtaining a simplified matte using just a single backdrop. The first extension allows for the capture of complex and subtle interactions of light with objects, while the second allows for video capture of colorless objects in motion. Yung-Yu Chuang, Douglas E. Zongker, Joel Hindorff, Brian Curless, David Salesin, Richard Szeliski |
SIGGRAPH | 3 |